A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Build AI Agents, Visually
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
Must-read Papers on LLM Agents.
The Open Source Memory Layer For Autonomous Agents
Build, run and scale AI agents like API and microservices
Agentic AI Hedge Fund OS (AIMM)
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
A selection of state-of-the-art research materials on trajectory prediction
For your multi-agent needs
SMAC: The StarCraft Multi-Agent Challenge
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.
🦠 Simulator for a particle system showing life-like behaviour.